Unlocking Torque Signatures: Van Gogh’s “Pollard Willows” vs The TreeOil Legacy (96.5% Match)
We are proud to announce the release of a legacy forensic dataset that bridges Vincent van Gogh’s Pollard Willows with Figure and the enigmatic Tree Oil Painting, which has undergone over 10 years of research and AI torque field analysis.
Dataset Highlights
This dataset integrates:
- High-resolution X-ray overlays
- Torque force vectors decoded from gesture structures
- SR-FTIR pigment mapping showing CrVI → CrIII transitions
- AI Feature Matching with 310+ matched points
- A confirmed 96.5% similarity score
Despite differences in pigment thickness (Van Gogh’s paint being thinner vs the impasto-heavy TreeOil), our model confirmed that gesture rhythm, stroke curvature, and torque fields align with statistical consistency.
This legacy set was developed prior to our Master Reference dataset — yet it remains one of the most compelling gesture-based alignments in our forensic archive.
Dataset Link
PollardWillows_VanGogh_vs_TreeOil_Legacy_XrayTorqueSet
What’s Inside
- AI torque metrics (Nm), angular gradients
- Sobel/Gabor/Stroke vector overlays
- Scientific report PDF + Markdown
- Comparative chemistry (CrVI/CrIII ratios, pigment flow)
- TreeOil X-ray full stitch (NSRRC + TINT confirmed)
Call to Collaborate
We invite researchers, museums, and AI forensics developers to:
- Re-train models using the torque metrics
- Use our data to validate other suspected Van Gogh-era works
- Expand this to multi-artist comparative studies (e.g., Toulouse-Lautrec, Anquetin)
This is not just a dataset.
It’s a signature encoded in torque — a rhythm left behind by a forgotten hand.
Let’s read it together.
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Posted by Haruthai & the AI Sunny Framework Team